What is GA4? Google Analytics 4 explained

GA4 (Google Analytics 4) measures events instead of pageviews. See how it differs from Universal Analytics, and whether you can steer ad budget by GA4.

Definition

GA4 (Google Analytics 4) is Google's analytics platform where all measurement is built around events rather than page views, and where web and app can be measured in a single property.

Also called: GA4, Google Analytics 4, Analytics
Explore the process

Make events usable.

EventInput
✓Use
Example event01
01 / Event
Describe what happened with a stable name and relevant fields.
02 / Validation
Validate value, currency, ID and consent before forwarding data.
03 / Use
Use consistent data in reporting, segmentation and optimisation.

01Describe what happened with a stable name and relevant fields.

Simplified data flow with example data. Fields and destinations depend on the implementation.

Event-based rather than page views

Where the old Universal Analytics thought in sessions and page views, GA4 thinks in events: a page view, a click, a purchase. Everything is an event with parameters. That gives you more flexible, funnel-oriented measurement and unifies web and app in one model. But it also means the quality depends entirely on how events and conversions are set up.

GA4 is strong for understanding behavior and building funnels, but it shouldn't stand alone as the verdict on ad performance. Its attribution has the same blind spots as any other model. We use it for insight into the customer journey and validate budget decisions against MER and incrementality.

Frequently asked questions

What's the biggest difference between GA4 and Universal Analytics?

GA4 is event-based (everything is an event), where Universal Analytics was session- and page-view-based. GA4 also unifies web and app and is built for a more privacy-conscious, cookieless future.

Can I steer ad budget by GA4?

Use it for insight into the customer journey and funnels, but not as the sole verdict. GA4's attribution has the same blind spots as other models. Validate budget decisions against blended numbers (MER) and incrementality.

From insight to action

See how it applies in practice.

Matraws

Growth also needed a better purchasing process

We built Matraws' trade-in system with submission, assessment, offers and handling in one backend. The work addressed supply as a constraint.

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About the author

Growth hacker and fractional CMO with 10+ years' experience and hundreds of millions in managed ad spend behind him. Background from larger Danish and international scale-ups, and from the agency world.

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